A holistic visual place recognition approach using lightweight cnns for significant viewpoint and appearance changes
IEEE transactions on robotics, 2019•ieeexplore.ieee.org
This article presents a lightweight visual place recognition approach, capable of achieving
high performance with low computational cost, and feasible for mobile robotics under
significant viewpoint and appearance changes. Results on several benchmark datasets
confirm an average boost of 13% in accuracy, and 12x average speedup relative to state-of-
the-art methods.
high performance with low computational cost, and feasible for mobile robotics under
significant viewpoint and appearance changes. Results on several benchmark datasets
confirm an average boost of 13% in accuracy, and 12x average speedup relative to state-of-
the-art methods.
This article presents a lightweight visual place recognition approach, capable of achieving high performance with low computational cost, and feasible for mobile robotics under significant viewpoint and appearance changes. Results on several benchmark datasets confirm an average boost of 13% in accuracy, and 12x average speedup relative to state-of-the-art methods.
ieeexplore.ieee.org
